Báo cáo Xây dựng hệ thống quản lý phòng máy thực hành tại trường Cao đẳng Công nghệ thông tin

Nội dung text: Báo cáo Xây dựng hệ thống quản lý phòng máy thực hành tại trường Cao đẳng Công nghệ thông tin

1. ĐẠI HỌC ĐÀ NẴNG TRƯỜNG CĐ CÔNG NGHỆ THÔNG TIN BÁO CÁO TỔNG KẾT ĐỀ TÀI KHOA HỌC VÀ CÔNG NGHỆ CẤP CƠ SỞ XÂY DỰNG HỆ THỐNG QUẢN LÝ PHÒNG MÁY THỰC HÀNH TẠI TRƯỜNG CĐ CNTT Mã số: T2017-07-09 Chủ nhiệm đề tài: Th.S Phan Trọng Thanh Thành viên tham gia: ThS. Nguyễn Anh Tuấn Đà Nẵng, 12/2017
2. ĐẠI HỌC ĐÀ NẴNG TRƯỜNG CĐ CÔNG NGHỆ THÔNG TIN BÁO CÁO TỔNG KẾT ĐỀ TÀI KHOA HỌC VÀ CÔNG NGHỆ CẤP CƠ SỞ XÂY DỰNG HỆ THỐNG QUẢN LÝ PHÒNG MÁY THỰC HÀNH TẠI TRƯỜNG CĐ CNTT Mã số: T2017-07-09 Xác nhận của cơ quan chủ trì đề tài Chủ nhiệm đề tài Phan Trọng Thanh Đà Nẵng, 12/2017
3. TABLE OF CONTENTS LIST OF FIGURES i LIST OF TABLES ii LIST OF ABBREVIATIONS iii THÔNG TIN KẾT QUẢ NGHIÊN CỨU iv INTRODUCTION 1 1. Reasons 1 2. Research objectives and tasks 2 3. Research subjects 2 4. Layout 2 CHAPTER 1. RELATED WORK 3 1.1. Integrated Module 3 1.2. Software 4 1.3. Discussion 5 CHAPTER 2. DESIGN AND BUILD THE SYSTEM 6 2.1. Survey the system 6 2.2. Build functions 7 2.2.1. System Management 7 2.2.2. Category Management 8 2.2.3. Manage the operation of the equipment 8 2.2.4. Manage your practice calendar registration 8 2.2.5. Message Management 8 2.2.6. Statistics - reports 8 2.5. Some demo system figures 9 CHAPTER 3. EXPERIMENTAL, SURVEY AND EVALUATION 11 3.1. Purposes of studying 11 3.2. Technology acceptance model (TAM) 11 3.2.1. Perceived usefulness (PU) 12 3.2.2. Perceived ease to use (PEU) 13
4. 3.2.3. Attitude toward using (ATU) 13 3.2.4. Behavioral intention to use (BI) 14 3.3. Conceptual model 14 3.4. Research Hypotheses 15 3.5. Operational Definition 16 3.6. Questionnaire Design 17 CHAPTER 4. CONCLUSION 22 4.1. The results of the thesis 22 4.2. Existence, weakness 22 4.3. Future development 22 REFERENCES 23
5. i LIST OF FIGURES Fig 1. The borrowings - check out the lab, lecturers have to write on papers 1 Fig 1.1. Screenshots of tmProx 3 Fig 1.2. Screenshots of iTALC demonstrating the work with it 4 Fig 1.3. Screenshots of iTALC demonstrating the work with it 5 Fig 2.1. Demonstration of laboratory equipment management 9 Fig 2.2. Demonstration of equipment scheduling functionality 10 Fig 3.1. Conceptual model of the survey 15 Fig 3.2. Structural model 18
6. ii LIST OF TABLES Table 2.1. Requirements for a proposed system 6 Table 3.1. Factor definition 16 Table 3.2. Survey questionnaire items 17 Table 3.3. Hypotheses testing result 19
7. iii LIST OF ABBREVIATIONS IT Lab Room ' staff LIMS Laboratory Information Management System TAM Technology acceptance model PU Perceived usefulness PEU Perceived ease to use ATU Attitude toward using BI Behavioral intention to use
8. iv ĐẠI HỌC ĐÀ NẴNG CỘNG HÒA XÃ HỘI CHỦ NGHĨA VIỆT NAM TRƯỜNG CĐ CÔNG NGHỆ THÔNG TIN Độc lập – Tự do – Hạnh phúc THÔNG TIN KẾT QUẢ NGHIÊN CỨU 1. Thông tin chung: - Tên đề tài: XÂY DỰNG HỆ THỐNG QUẢN LÝ PHÒNG MÁY THỰC HÀNH TẠI TRƯỜNG CĐ CNTT - Mã số: T2017-07-09 - Chủ nhiệm: Phan Trọng Thanh - Thành viên tham gia: Nguyễn Anh Tuấn - Cơ quan chủ trì: Trường Cao đẳng Công nghệ Thông Tin - Thời gian thực hiện: 04/2017 đến 12/2017 2. Mục tiêu: - Xây dựng một hệ thống website quản lý lịch thực hành, nhờ đó giảng viên có thể dễ dàng nắm được lịch dạy thực hành của mình, biết được cán bộ phòng máy nào sẽ trực tại thời điểm cụ thể nào. Khi có sự cố bất ngờ xảy ra, giảng viên có thể đăng thông báo trực tiếp trên hệ thống, như vậy cán bộ phòng máy sẽ thông báo kịp thời đến các sinh viên. - Hệ thống website còn có thể quản lý cơ sở vật chất trong phòng thực hành. Nhờ vào hệ thống, cán bộ phòng máy sẽ thuận tiện hơn trong việc quản lý các thiết bị trong phòng máy. Khi có sự cố máy hỏng, giảng viên có thể trực tiếp ghi chú trên hệ thống các nội dung chi tiết về sự hỏng hóc, tạo điều kiện thuận lợi hơn cho các cán bộ phòng máy trong việc sửa chữa kịp thời. - Hệ thống hỗ trợ cho sự tương tác giữa cán bộ phòng máy và giảng viên trở nên thuận tiện và dễ dàng hơn
9. v 3. Tính mới và sáng tạo: - Xây dựng hệ thống quản lý phòng máy thực hành phù hợp và đáp ứng được với đặc thù công tác của cán bộ phòng máy tại trường Cao đẳng Công nghệ Thông Tin. 4. Tóm tắt kết quả nghiên cứu: - Tiến hành tìm hiểu tổng quan nghiên cứu đề tài, khảo sát nhu cầu công việc thực tế của cán bộ phòng máy tại trường Cao đẳng Công nghệ Thông tin. - Phân tích, thiết kế các tính năng cần thiết và xây dựng hệ thống quản lý phòng máy. - Thực nghiệm hệ thống bằng hình thức khảo sát mức độ hài lòng của các đối tượng khi sử dụng hệ thống. 5. Tên sản phẩm: Website quản lý phòng máy thực hành tại trường Cao đẳng Công nghệ Thông tin 6. Hiệu quả, phương thức chuyển giao kết quả nghiên cứu và khả năng áp dụng: Có khả năng áp dụng vào công tác quản lý phòng máy tại đơn vị. Đà Nẵng ngày 24 tháng 12 năm 2017 Cơ quan chủ trì Chủ nhiệm đề tài Phan Trọng Thanh
10. 1 INTRODUCTION 1. Reasons The current system is just able to work with module that integrated in schedule on the website of official of academic affairs, there is no integrated module yet for lab room’ staff (IT) on the mobile platform. In addition, some of the management functions that necessary for IT is not met the requirement such as tracking the number of broken machinery; interaction between lecturers and IT whenever there is an urgent inform, needed installed software or statistics on students' activities on computer room equipment In most cases, the basic processes for running a computer lab are not computerized at all, this results in the following problems, just to name a few: IT do not have effective means to maintain and query the list of users known for malicious activities (fig 1). Fig 1. The borrowings - check out the lab, lecturers have to write on papers There is no way for a lab assistant to know that a student signing in to use a workstation damaged a huge amount of money of equipment. Room occupancy cannot be managed. Lab rooms staff in an exactly day cannot tell whether any room are available, whether another is booked for a class, under-occupied or has
11. 2 users on a waitlist. As a result, there is no way to redistribute users to vacant workstations in other locations. 2. Research objectives and tasks - Build a website management system that allows the trainer to easily master his or her practice schedule and know which department staff will be available at any given time. In the event of a sudden occurrence, the lecturer can post a notice directly on the system, so the machine room staff will promptly notify the students. - Website system can also manage facilities in practice room. Thanks to the system, the machine room staff will be more convenient to manage the equipment in the machine room. In the event of a breakdown, the instructor may directly make notes on the system detailing the breakdown, creating more favorable conditions for the machine room staff to repair in time. - The system facilitates the interaction between machine room staff and faculty members. 3. Research subjects Training system, LAN computer, lecturers, students and IT room staff (IT). 4. Layout Chapter 1. Related work Chapter 2. Design and build the system Chapter 3. Experimental, survey and evaluation Chapter 4. Conclusion
12. 3 CHAPTER 1. RELATED WORK A Laboratory Information Management System (LIMS) is an application that manages the data that is digested or produced in a laboratory setting and include support for many laboratory-specific needs [6]. Currently, the lab room management software for IT is available in two kinds: 1.1. Integrated Module Software is a module that integrates into an overall training management system. - This module [4] allows lecturers and laboratory staff to know specific laboratory information such as: study time, LAB room location, number of students, teacher name. Fig 1.1. Screenshots of tmProx - Therefore, Lab and Resource Scheduler [7] is designed to give educational organizations an easy and quick way to schedule rooms, labs and other resources such as projectors, digital cameras. - tmProx [5] is software for job management and training in high-end universities that follows the signal generation process. Software management support catalog data
13. 4 management (faculty, students, industry - curriculum framework, ), training plan, scheduler, learning fee and fees, point management and handling of professional training; 1.2. Software Software is a commercially available or open source laboratory and laboratory management (LIMS). Fig 1.2. Screenshots of iTALC demonstrating the work with it - Its main function is to manage information and control the use of student computer room such as Classroom Management [8] which powerful software for lab management with license (Figure 1.2). - According to [9] iTALC is a famous open source for lab management system, LabStats [10] is the computer lab management software choice for 80% of the top 20 US universities and colleges. It is the most and easiest economical software solution for tracking computer usage in universities and colleges. Designed specifically for environments of networked computer as Figure 1.3.
14. 5 Fig 1.3. Screenshots of iTALC demonstrating the work with it 1.3. Discussion Fundamental functions of facilities management, management of teaching schedules are very good. These systems are most stable running modules integrating training schedules on the website, no integrated module for computer room engineers integrated on the platform. In addition, some of the management functions necessary for IT not meet such as tracking the number of broken machinery; interaction between the trainer and the IT when there is a holiday message, what software to install.
15. 6 CHAPTER 2. DESIGN AND BUILD THE SYSTEM 2.1. Survey the system Implementation of a professional quality and fully integrated Computer Lab Management System can significantly increase the efficiency, security, and cost-effectiveness of computer lab operations. Build a website management system that allows lecturers to easily control his or her schedule and be able to know which staff will be available at any given time. If lecturers meet some sudden incidents that they cannot come to the lab, they can post a notice directly on the system, so lab rooms’ staff will promptly notify to students. Website system can also manage facilities in lab rooms. Thanks to the system, the lab rooms staff will be more convenient to manage the equipment in the lab room. In the event of a failure, lecturers may directly make notes on the system detailing the failure so that IT can easily fix these problems quickly. The system facilitates the interaction between IT and lecturers. Table 2.1. Requirements for a proposed system Function Requirement Equipment Lecturers may request repairs, loan management. management Calculate the time spent Damage statistics to plan timely repairs Lab room, equipment Check in, check out, lab room, equipment scheduling scheduling Interactive faculty with Lecturer notice to do inform IT IT - The scheduling management module makes it easy for lecturers to master their practice schedule and to know which department staff will be available at any given time. In the event of a sudden occurrence, the lecturer can post a notice
16. 7 directly on the system, so the IT will promptly notify the students. The system also provides the user with information about the device: device code, device name, information about each type of device: device type, type name, department information: room code Employee name, employee's name, address, telephone number, date of birth, gender, email and stock information: stock code, warehouse name, warehouse location as well as unit information for each type of device. - Website systems can also manage facilities in lab rooms. The lab room’ staff will be more convenient to manage the equipment in lab rooms. In the event of a breakdown, the instructor may directly make notes on the system detailing the breakdown, creating more favorable conditions for the lab room’ staff to repair in time. - The system was developed using free licensed software tools as Apache, PHP, MySQL. We design our web management framework using MVC (Model- View-Control) architecture, which encourages developers to partition the applications in the design phase. Our system design is scalable, flexible and reusable for more functionality in the future. 2.2. Build functions 2.2.1. System Management + System Log: allows users to log on to the system + Change Password: allows users to change their login password if they want. + Backup and restore: Allows users to copy, save and restore data when a risk occurs. + User Management: The administrator will manage the information and allow the user to log in. + Log out system: allow to exit the system.
17. 8 2.2.2. Category Management + Device management: manage device information: name, code, type of device. + Device type management: management and update of information of each type of equipment. + Employee management: management of employee information (employee records). + Unit Management: manage the calculation of each device, can manage according to one or manage in sets. 2.2.3. Manage the operation of the equipment + Make entry tickets: the equipment will be imported from the general finance department. + Make a handover voucher: use it for your room, personal. + Prepare coupon: make a repair voucher when the equipment has problems. 2.2.4. Manage your practice calendar registration + Check in Lab room. + Check out Lab Room. + Borrow equipment + Return the device 2.2.5. Message Management + Log chat between Lecturer and IT + Notice of absence from school + Notice of examination 2.2.6. Statistics - reports + Statistics of equipment list by department: Statistics of each type of equipment, what kind of equipment and how.
18. 9 + Equipment inventory has been liquidated: listed lists of equipment have been liquidated. + Equipment damage, loss. + Statistics of equipment by type: Statistics by type of equipment, what equipment. + Report on equipment efficiency: report on the performance of equipment during use: good quality, reach or not. + Statistics check in - check out the practice room. 2.5. Some demo system figures Fig 2.1. Demonstration of laboratory equipment management
19. 10 Fig 2.2. Demonstration of equipment scheduling functionality
20. 11 CHAPTER 3. EXPERIMENTAL, SURVEY AND EVALUATION We have built a web-based interactive system, after that we deploy an experimental setup on the proposed system. Finally, we create a survey of system function requirements from lecturers and lab rooms staff, analysis the survey data using SPSS and AMOS software in order to make sure whether lecturers will accept the system. 3.1. Purposes of studying First, the purposes of this study provide a comprehensive view of the factors affecting behavioral intention to use – a key factor that user acceptable use lab management system. The main contribution of this study is to show the level of impact of individual factors to attitude and behavioral intent to use. Second, the objective of the study also has practical implications show that the important of each element so that the services providers can understand the user psychology and improve their system. Finally, the purposes of this research are: determining the factor responsible for the adoption of lab management system. 3.2. Technology acceptance model (TAM) The theory of reasoned action (TRA), created by Fishbein and Ajzen (1975) is the premise for developing a model of the tremendous influence. This is technology acceptance model (TAM). Many studies explain and predict human behavior in many different fields through the use of model TRA (Chen, Gllenson & Sherrell, 2002). Fred Davis and Richard Bagozzi is the first person to propose and develop technology acceptance models (Davis 1989, Bagozzi, Davis & Warshaw 1992). Technology acceptance has been defined as “an individual's psychological state with regard to his or her voluntary or intended use of a particular technology” (Gattiker, 1984). The original technology acceptance model is formed by the main components such as perceived ease to use (PEU), perceived usefulness (PU), attitude toward using (ATU), behavioral intention to use (BI), and actual system use (AU). The two most significant
21. 12 components forming the user behavior with the system are perceived ease to use and perceived usefulness. The attitude toward using indirectly influences user’s actual system use through behavioral intention to use. The technology acceptance model received the attention and support of many researchers since its inception in 1989 (Chen, Fan, & Farn, 2007). TAM is used as a powerful tool to determine the behavior of users on a technology and evaluate this technology (Joo & Sang, 2013). A series successful in predicting and explaining the use of new technology based on technology acceptance model (Rho, Choi, & Lee, 2014). Perceived ease to use and perceived usefulness have been proven to identify the attitude of the users towards a particular technology. This has been confirmed with a lot of research has successfully used model to predict the acceptance of users toward using new technologies. Previous researches have also proven behavioral intention to use was influenced, either directly or indirectly, by perceived ease to use through perceived usefulness (Davis 1989, Jackson, Chow & Leitch, 1997). Many researchers suggest that TAM needs to be upgraded and developed further in order to become stronger and more effective in assessing technology (Legris & Ingham, 2003). TAM was used to examine the adoption of lab management system and likely to show connections between components in the model. Thus, this study used technology acceptance model such as method to identify the role of psychological factors in the acceptance of users toward lab management system. 3.2.1. Perceived usefulness (PU) Perceived usefulness (PU) was defined by Fred Davis as "the degree to which a person believes that using a particular system would enhance his or her job performance" (Davis, 1989). Schultz and Slevin (1975) and Robey (1979) had proposed the perceived usefulness have a tremendous impact to the using system of user (Davis, 1989). Perceived usefulness has been proven by technology acceptance model is strong determinant of attitudes and behaviors using toward specific service and systems (Davis, 1989). Many previous studies (e.g., Jooand Sang, 2013; Wu and Wang, 2005; Park and Kim, 2013, 2014) have used TAM and demonstrate once again
22. 13 the attitude toward using and behavioral intention to use are positive impacts from perceived usefulness. In human psychology, the characteristics of perceived usefulness mean is: users tend to decide using applications based on the functionality which it provides for them, and secondarily system is easy or difficult to perform functions and provide utility to users (Davis, 1989) 3.2.2. Perceived ease to use (PEU) Perceived ease-of-use (PEU) - Davis defined this as "the degree to which a person believes that using a particular system would be free from effort" (Davis 1989). The perceived ease to use is one of the important factors that greatly influenced the attitude and behavior using toward specific service and systems. In the awareness of users, perceived ease to use is an indispensable component assesses the usefulness of the technology. The users will also easily be discouraged if service too difficult to use. Many studies on the application of new technology has also demonstrated enormous role of perceived ease to use (Davis, 1989). Every new technology is quite difficult to understand and use, this thing creates the importance of ease of use for the user's awareness and it greatly affects the adoption of using technology. According to some previous researches, PEU is constituted from elements such as cognitive absorption, intrinsic motivation and computer anxiety (Saadé & Kira, 2007). 3.2.3. Attitude toward using (ATU) In the theory of reasoned action, attitude toward using (ATU) is an important component (Ajzen & Fishbein, 1977). The theory of reasoned action (TRA) mentioned that subjective perception and attitude of a person create their intention to engage in a particular behavior (Ajzen, 1991; Ajzen and Fishbein, 1977). TRA also indicates that attitude is consent or objection to a specific object or just feelings about particular target (Ajzen, 1991; Ajzen and Fishbein, 1977). Attitude towards using a technology was defined as “the degree of evaluative affect that an individual associate with using a system in his or her job” (Davis, 1989). In some previous studies, many researchers believe that before system development when users listen about that system, they had formed a vague beliefs and attitudes toward this system. The technology acceptance
23. 14 model (TAM) has demonstrated strong correlation between attitude toward using and behavioral intention to use (Park & Kim, 2013). Thus, this study applied and expands the correlation between attitude toward using and behavioral intention to use. 3.2.4. Behavioral intention to use (BI) Behavioral intention (BI) is defined as cognitive abilities of a person and the probability that they will participate in a certain behavior (Davis, 1989). In addition, behavioral intention was also defined as planning intentions of a person to perform or not perform a certain behavior in the future (Warshaw and Davis, 1985). According to Theory of Planned behavior (Ajzen, 1991) and the Theory of Reasoned Action (Fishbein & Ajzen, 1975) which indicated that behavioral intention is a is an important factor used to determine actual behavior. Performance expectancy, social influence, effort expectancy, and facilitating conditions are the factors establish behavioral intention of user to use a technology (Venkatesh et al, 2008). Behavioral intention has the ability to change behavior in the future (Walker et al., 2001, McLachlan et al., 2011 and Eccles et al., 2012) and identify the specific action to perform some certain behaviors (Walker et al., 2001). According to Theory of Planned Behaviour (TPB), intention is a prerequisite and motivation to build the behavior of a person (McLachlan et al., 2011 and Eccles et al., 2012). Behavioural intention is affected by many factors such as self-efficacy, constructs of attitude, and social norm (Yvonne J et al, 2014) 3.3. Conceptual model The model of this research was built from technology acceptance model (Davis, 1989). The term “behavioral intention to use” determines the acceptance of user with a new technology. Thus, behavioral intention to use like a most important factor which make fundamental to develop the model. There is reason to say behavioral intention to use is significant factor because it decided the number of user which influences directly to reputation and profits of service providers. Therefore, determining behavioral intention to use will help service vendors upgrade and improve services more appropriate to users. Moreover, they can increase revenue and maintain competitive advantage.
24. 15 Attitude toward using is a multidimensional factors including affection, awareness, behavioral and it directly influence on the behavior intention to use (Fishbein & Ajzen, 1975). Many previous studies have proven that attitude toward using positively correlated behavioral intention to use (Davis, 1989; Yuvaraj, 2013; Park and Kim, 2014). Thus, other elements were used to make relation to attitude toward using like, perceived usefulness, perceived ease to use. As a result, based on the above analysis and interact the influence on relationship between research construct, this research selects to integrate the perceived usefulness, perceived ease to use, attitude toward using behavioral intention to use from original technology acceptance model in lab management system and establishes the model for this study. We have built a web-based interactive system, after that we deploy an experimental setup on the proposed system. Finally, we create a survey of system function requirements from lecturers and lab rooms staff, analysis the survey data using SPSS and AMOS software in order to make sure whether lecturers will accept the system. The conceptual model of this study is presented in figure below: The conceptual model of this study is presented in figure below: Fig 3.1. Conceptual model of the survey 3.4. Research Hypotheses Based on the above conceptual model the following five hypotheses will be used to check: Based on the above conceptual model the following five hypotheses will be used to check:
25. 16 - H1: Perceived ease to use will have positive effect on perceived usefulness in the computer lab management system. - H2: Perceived usefulness will have positive effect on attitude toward using in the computer lab management system. - H3: Perceived ease to use will have positive effect on attitude toward using in the computer lab management system. - H4: Perceived usefulness will have positive effect on behavioral intention to use in in the computer lab management system. - H5: Attitude toward using will have positive effect on behavioral intention to use in in the computer lab management system. 3.5. Operational Definition In the context of this study, the elements of the research model are defined in the table below: Table 3.1. Factor definition Factor Definition Perceived usefulness is the degree to which users believe that Perceived using the computer lab management system improves usefulness effectiveness of their life and job performance. Perceived ease to use is the degree to which users believes Perceived that using the computer lab management system would be ease to use free from effort. Attitude Attitude toward using is the degree of evaluative affect that toward users with using the computer lab management system in using their life. Behavioural Behavioural intention to use is the degree to which users has intention to formulated conscious plans to use or not use the computer use lab management system in future.
26. 17 3.6. Questionnaire Design The questionnaire design followed a sequential step by step process. Firstly, this study refers to the different previous literatures to design the questionnaire items for the survey. Then, the pre-test was implementing on lecturers who will use the computer lab management system. Table 3.2. Survey questionnaire items Construct Reference Item Perceived PU I think the computer lab management system are useful to my usefulness (1) teaching time The computer lab management system improves my work performance The computer lab management system enhances the effectiveness of my teaching. The computer lab management system helps my teaching more convenient. Perceived PEU I found that the computer lab management system easy to use ease to use (1) Using the computer lab management system does not require a lot of computer skills It is easy for me to remember how to using the computer lab management system My interactions with the computer lab management system are clear and understandable Attitude ATU I think using the computer lab management system is beneficial to me toward (2) I think using the computer lab management system is a good idea. using I feel excited when I use the computer lab management system. Behavioural BI I intend to continue using the computer lab management system in intention to (1) ;(3) future use I intend to the computer lab management system as often as possible I will continue to use the computer lab management system if I have access to the service I will recommend my colleagues to use the computer lab management system
27. 18 Questionnaires were designed and delivered know lecturers’ feeling and thinking about usefulness, ease to use, attitude toward using, behavioral intention to use the computer lab management system. The final questionnaire has 15 items which all are measured on a 5- point Likert scale, with 1 for “extremely disagree”, 2 for “disagree”, 3 for “natural”, 4 for “agree” and 5 for “extremely agree” as well. The next step is testing the structural model through AMOS software. The structural model determines the interaction between the constructs or latent variables. Fig 3.2. Structural model First, this research again examines the model fit index of model. The Normed Chi- square (χ²⁄df) is used to test in this step and it equal to 2.392. The χ²⁄df less than value of 3 and matches to the requirements of model fit index. The Adjusted Goodness-of- Fit Index (AGFI) and Goodness-of-Fit index (GFI) follow requirement is great than value of 0.9 to achieve good model fit. In this study, AGFI only equal to 0.852 and GFI equal to 0.885, but these two indexes can still be accepted when they great than value of 0.8 (Doll, Xia and Torkzadeh, 1994; MacCallum and Hong, 1997). The Comparative Fit Index (CFI) equal to 0.908 and match the theory is great than 0.9 The Root Mean Square Error of Approximation (RMSEA) is 0.072 and coincides with
28. 19 theory is less than 0.08. Thus, these results pointed out that the model provides a fit to conduct the testing hypotheses. Second, this study again examines the hypotheses. The result shown that perceived ease to use had significant positive effects on perceived usefulness (H1, β = 0.401, t-value = 5.186, p-value < 0.001). Moreover, perceived ease to use also positive effects on attitude toward using (H3, β = 0.123, t-value = 2.283, p-value < 0.05). Perceived usefulness is found to have significant relationship with attitude toward using (H2, β = 0.196, t-value = 3.441, p-value < 0.001). Behavioural intention to use was significant positive influence from perceived usefulness and attitude toward using (H4, β = 0.479, t-value = 6.620, p-value < 0.001; H5, β = 0.609, t-value = 7.939, p-value < 0.001). Table 3.3. Hypotheses testing result Hypotheses Description Supported / Not supported H1 PEU → PU Supported H2 PU → ATU Supported H3 PEU → ATU Supported H4 PU → BI Supported H5 ATU→ BI Supported Hypothesis one is perceived ease to use will have positive effect on perceived usefulness the computer lab management system. The result indicated that perceived ease to use have a strongly positive influence to perceived usefulness. In fact, a new technology that is easy to use or not is first concern that users learn about this technology. The computer lab management system is improved and upgraded for easier to use on a regular basis by developers and this helps the using service gain maximum benefit that the user wishes. Hypothesis two is perceived usefulness will have positive effect on attitude toward using in the usefulness the computer lab management system. The result indicated that
29. 20 perceived usefulness has a strongly positive influence to attitude toward using. Attitudes of users evaluate that a technology is good or bad largely depends on the usefulness of this technology. Hypothesis three is perceived ease to use will have positive effect on attitude toward using in usefulness the computer lab management system. The perceived ease to use is also a significant factor making the attitude of user about the certain technology. In fact, the psychology of human will feel depressed or tired when certain service is too difficult to learn and to use. Hypothesis four is perceived usefulness will have positive effect on behavioral intention to use in the computer lab management system. Perceived usefulness not only decides to attitude toward using but also influence to behavioral intention to use. The result presented that perceived usefulness have a strongly positive influence to behavioral intention to use. The psychology of human would definitely not try to use the service that can be considered not beneficial for them. Hypothesis five is attitude toward using will have positive effect on behavioral intention to use in use the computer lab management system. Same as usefulness, attitude toward using is the key ingredient forming behavior intention to use of users use the computer lab management system. With a positive attitude, the user will make positive behavior and with a negative attitude, the user certainly gives a negative behavior. Based on their good evaluation about the system, the lecturers always have the intention to use the computer lab management system long-term in the future. The hypotheses of this study indicate that CIT lecturers has a positive behavior in the using the computer lab management. The behavior of users was strongly affected by perceived usefulness and attitude toward using. This research has some limitation such as: First, the sample size of this study is not really big as there are not enough lecturers to collect larger sample size, so the sample size of the research only has averaged allows approved for use to conduct research. With a larger sample size, the research will be achieved with higher reliability and validity levels. Future research should collect more data to produce results in order to reflect more accurately about study. Second, the study was conducted with data
30. 21 collected in Danang Colleague of Information Technology only. The study’s results might be different if the model was retested in a different college of universities.
31. 22 CHAPTER 4. CONCLUSION 4.1. The results of the thesis The topic was to study current machine room management solutions (both at home and abroad), then to analyze and analyze the system functions of lecturers and IT. The thesis proposed to build a lab management system supporting a number of tasks for the management of laboratory rooms in Danang College of Information Technology. The system has met a number of requirements that the current lab room cannot be resolved yet. In addition, we have conducted some experiments, evaluating the system of a number of criteria and taking surveys from lecturers. Survey results are processed by AMOS and SPSS software and it showed that the system meets the initial criteria, the next task is to continue to improve other platforms (mobile / offline) to have better support for laboratory management. Moreover, this implemented system will significantly reduce the number of paperwork and replace it with electronic work. The system users noticed that the system provides results that were not available when the work was done manually using the traditional paper system. 4.2. Existence, weakness Due to the limited development time of the system, some modules of the project have not been developed such as synchronous management of the laboratory in the laboratory together with the training system. In addition, the author has not built a mobile application for users, currently only built in web applications 4.3. Future development We will continue to study and complete the current modules such as: Equipment management; Lab room, equipment scheduling; Interactive faculty with IT.
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